Lung cancer is a most common malignant tumor of the lung and is the cancer with the highest morbidity and mortality worldwide. For patients with advanced non-small cell lung cancer who have undergone epidermal growth factor receptor (EGFR) gene mutations, targeted drugs can be used for targeted therapy. There are many methods for detecting EGFR gene mutations, but each method has its own advantages and disadvantages. This study aims to predict the risk of EGFR gene mutation by exploring the association between the histological features of the whole slides pathology of non-small cell lung cancer hematoxylin-eosin (HE) staining and the patient's EGFR mutant gene. The experimental results show that the area under the curve (AUC) of the EGFR gene mutation risk prediction model proposed in this paper reached 72.4% on the test set, and the accuracy rate was 70.8%, which reveals the close relationship between histomorphological features and EGFR gene mutations in the whole slides pathological images of non-small cell lung cancer. In this paper, the molecular phenotypes were analyzed from the scale of the whole slides pathological images, and the combination of pathology and molecular omics was used to establish the EGFR gene mutation risk prediction model, revealing the correlation between the whole slides pathological images and EGFR gene mutation risk. It could provide a promising research direction for this field.
目的 為避免選擇和發表偏倚,系統評價者應采用多種查詢技術,并盡力獲得未發表的研究.本文試圖探討,英特網檢索對鑒定未發表和正在進行的臨床試驗是否有用.研究設計 利用七個Cochrane系統評價的查詢策略回顧性地在英特網上檢索未納入的隨機對照試驗.方法 檢索策略 以普通檢索式"研究方法學 NEAR干預措施NERA 條件"、用AltaVista在英特網上搜索.測量指標包括搜索時間、英特網搜索已發表研究的回溯率、精確度(已發表和未發表的隨機臨床試驗鏈接的網頁比例)、英特網檢索到的未納入的未發表和正在進行的研究數.結果 用21小時查詢了429個網頁,找到14個鏈接到未發表的、正在進行的或最近完成的試驗,至少有9個與4篇系統評價相關.英特網檢索已發表研究文獻的回溯率在0～43.6%,其鏈接已發表和未發表研究的精確度在0～20.2%.結論 未發表尤其是正在進行的試驗的信息可在英特網上找到.潛在的問題是如何評價未經同行評審的電子出版物的質量.急需更強的搜索工具.建議用"Open Trial Initiative"定義英特網發表試驗的語法,以加強試驗登記的共同操作性.因此,專門的搜索引擎可找到更多有關正在進行和已完成的臨床試驗信息.
Currently, in precision cardiac surgery, there are still some pressing issues that need to be addressed. For example, cardiopulmonary bypass remains a critical factor in precise surgical treatment, and many core aspects still rely on the experience and subjective judgment of cardiopulmonary bypass specialists and surgeons, lacking precise data feedback. With the increasing elderly population and rising surgical complexity, precise feedback during cardiopulmonary bypass becomes crucial for improving surgical success rates and facilitating high-complexity procedures. Overcoming these key challenges requires not only a solid medical background but also close collaboration among multiple interdisciplinary fields. Establishing a multidisciplinary team encompassing professionals from the medical, information, software, and related industries can provide high-quality solutions to these challenges. This article shows several patents from a collaborative medical and electronic information team, illustrating how to identify unresolved technical issues and find corresponding solutions in the field of precision cardiac surgery while sharing experiences in applying for invention patents.
Cardiovascular disease and cancer are the two leading chronic conditions contributing to global mortality. With the rising incidence of cancer, the prevalence of cancer therapy-related cardiovascular complications has also increased, driving the development of the emerging field of cardio-oncology. The advancement of precision medicine offers new opportunities for the individualized and targeted management of cardiovascular toxicities associated with cancer treatment. Artificial intelligence (AI) has the potential to overcome traditional limitations in medical data integration, dynamic monitoring, and interdisciplinary collaboration, thereby accelerating the application of precision medicine in cardio-oncology. By enabling personalized treatment and reducing cardiovascular complications in cancer patients, AI serves as a critical tool in this domain. This article provides an in-depth interpretation of the “Artificial intelligence to enhance precision medicine in cardio-oncology: a scientific statement from the American Heart Association” aiming to inform the integration of AI into precision medicine in China. The goal is to promote its application in the management of cardiovascular diseases related to cancer therapy and to achieve precision management in this context.
Non-small cell lung cancer is one of the cancers with the highest incidence and mortality rate in the world, and precise prognostic models can guide clinical treatment plans. With the continuous upgrading of computer technology, deep learning as a breakthrough technology of artificial intelligence has shown good performance and great potential in the application of non-small cell lung cancer prognosis model. The research on the application of deep learning in survival and recurrence prediction, efficacy prediction, distant metastasis prediction, and complication prediction of non-small cell lung cancer has made some progress, and it shows a trend of multi-omics and multi-modal joint, but there are still shortcomings, which should be further explored in the future to strengthen model verification and solve practical problems in clinical practice.
ObjectiveTo explore the value of multidisciplinary team (MDT) discussion in the comprehensive treatment of HER-2 positive breast cancer.MethodThe clinical data of 2 patients with HER-2 positive breast cancer admitted to the Affiliated Hospital of Southwest Medical University after MDT discussions were analyzed retrospectively.ResultsCase 1 was a 32-year-old woman diagnosed with left breast non-special type invasive carcinoma at admission, cT2N1M0, stage ⅡB, WHO grade 2, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 20%). After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 6 cycles, and the efficacy evaluation was partial response, received left breast conserving surgery and axillary lymph node dissection (ALND), postoperative staging ypT1aN1ycM0, stage ⅡA, Miller-Payne grade 4, the patient was satisfied with the shape of breast, received radiotherapy and anti-HER-2 therapy after surgery. At present, there was no recurrence and metastasis during anti-HER-2 therapy. Case 2 was diagnosed with right breast non-special type invasive carcinoma at admission, cT3N0M0, stage ⅡB, WHO grade 3, ER (–), PR (–), HER-2 (+++), Ki-67 (+, 40%), local advanced breast cancer. After MDT discussion, the patient was treated with neoadjuvant chemotherapy for 2 cycles, and the efficacy evaluation was progressive disease. After the replacement of two neoadjuvant chemotherapy regimen, the efficacy evaluation was still progressive disease. Finally after MDT discussion, the patient received right breast mastectomy and ALND, postoperative staging ypT4bN1ycM0, stage ⅢB, Miller-Payne grade 1, received radiotherapy, adjuvant treatment with pyrotinib and capecitabine after surgery. The patient was followed up for 3 months by telephone, the patient did not follow the doctor’ instructions, no recurrence and metastasis was found in the review.ConclusionUnder the precision medical system, comprehensive treatment of breast cancer based on the MDT model could target patients’ disease characteristics, physical conditions, previous diagnosis and treatment, family situation, and other individual factors, formulate the best personal treatment plan for patients, and bring greater benefits to patients.
ObjectiveTo review and evaluate the research progress of the robot-assisted joint arthroplasty.MethodsThe domestic and foreign related research literature on robot-assisted joint arthroplasty was extensively consulted. The advantages, disadvantages, effectiveness, and future prospects were mainly reviewed and summarized.ResultsThe widely recognized advantages of robot-assisted joint arthroplasty are digital and intelligent preoperative planning, accurate intraoperative prosthesis implantation, and quantitative soft tissue balance, as well as good postoperative imaging prosthesis position and alignment. However, the advantages of effectiveness are still controversial. The main disadvantages of robot-assisted joint arthroplasty are the high price of the robot system, the prolonged operation time, and the increased radioactive damage of the imaging-dependent system.ConclusionCompared to traditional arthroplasty, robot-assisted joint arthroplasty can improve the accuracy of the prosthesis position and assist in the quantitative assessment of soft tissue tension, and the repeatability rate is high. In the future, further research is needed to evaluate the clinical function and survival rate of the prosthesis, as well as to optimize the robot system.
Laparoscopic Roux-en-Y gastric bypass (LRYGB) was recommended as the gold standard procedure for metabolic and bariatric surgery by the National Institutes of Health in the 1990s and then had been adopted till now, which could effectively control excess weight and treat metabolic diseases relevant to obesity in a long term. The current LRYGB procedure had been performed more than half a century of development and update, and is still constantly evolving. Standardized and precise surgical procedures are of great significance in ensuring treatment effect and reducing the incidence of complications. Thus, the author reviewed the development process of LRYGB, further understanding and emphasizing the importance of standardized and precise surgical procedures.
Objective To investigate the safety and feasibility of transcatheter arterial chemoembolization (TACE) assisted by transradial approach and cone beam computed tomography (CBCT) three-dimensional vascular reconstruction in the treatment of primary liver cancer. Methods The clinical data of 124 patients with primary liver cancer who underwent precision TACE via radial artery in our hospital from May 2018 to December 2019 were retrospectively collected. Results Among the 124 patients, 118 patients were successfully punctured through the left radial artery and completed the TACE operation. The operation time was (109.57±31.32) min, and the median of postoperative hospitalization was 3 d. One patient changed to the right radial artery to complete TACE due to chronic renal failure and left brachial artery and vein puncture and catheterization before operation. The operation time was 119 minutes, and the patient was discharged after 5 days of hospitalization. After successful puncture of the left radial artery in one patient, the forearm artery was twisted into a loop and the guide wire catheter failed to pass, and the right femoral artery was used to complete TACE. The operation time was 123 minutes, and the patient was discharged after 4 days of improvement. The radial artery puncture was unsuccessful in four patients, and the right femoral artery approach was used to complete the operation; the operation time was (111.66±32.77) min, and the median of postoperative hospitalization was 3 d. One of the patients successfully completed up to 5 consecutive TACE via the radial artery. All patients underwent precision TACE with superselective cannulation assisted by CBCT three-dimensional vascular reconstruction. No vascular injury andocclusion, urinary retention, subcutaneous hemorrhage, and other complications occurred in all patients. Conclusions Trans-radial arterial precision TACE is safe and effective, which can be repeated many times and has few complications and high patient comfort. It can be used as one of the routine approaches of TACE.
Lung cancer is one of the leading causes of cancer deaths worldwide. Many options including surgery, radiotherapy, chemotherapy, targeted therapy and immunotherapy have been applied in the treatment for lung cancer patients. However, how to develop individualized treatment plans for patients and accurately determine the prognosis of patients is still a very difficult clinical problem. In recent years, radiomics, as an emerging method for medical image analysis, has gradually received the attention from researchers. It is based on the assumption that medical images contain a vast amount of biological information about patients that is difficult to identify with naked eyes but can be accessed by computer. One of the most common uses of radiomics is the diagnosis and treatment of non-small cell lung cancer (NSCLC). In this review, we reviewed the current researches on chest CT-based radiomics in the diagnosis and treatment of NSCLC and provided a brief summary of the current state of research in this field, covering various aspects of qualitative diagnosis, efficacy prediction, and prognostic analysis of lung cancer. We also briefly described the main current technical limitations of this technology with the aim of gaining a broader understanding of its potential role in the diagnosis and treatment of NSCLC and advancing its development as a tool for individualized management of NSCLC patients.